Top Data Engineer Jobs in Warsaw

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

As a Middle Data Engineer, you'll build and manage ELT/ETL pipelines using Snowflake and Airflow, ensuring data reliability while collaborating with BI teams and maintaining data integrity.

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

The Data Engineer will develop, maintain, and optimize data pipelines using Apache Airflow, manage database performance, and support Elasticsearch integration. Responsibilities include building ETL scripts, handling Unix/Linux operations, and implementing CI/CD pipelines in GitLab.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

The role involves designing, building, and maintaining data pipelines using Python, collaborating with international teams, and managing data solutions on Databricks.

The Data Governance Developer will develop DQ rules, support data quality programs, conduct data profiling, and manage QA processes across various regions.

Design, build, and maintain data pipelines using Python, collaborate on scalable data solutions, conduct system analysis, and create documentation.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The Data Engineer will design and maintain data pipelines, optimize performance, enforce governance, and collaborate with AI teams for innovative solutions.

The role involves building and operating scalable distributed systems, developing RESTful services, and supporting data movement needs across Netflix.

As a Principal Software Engineer, you will develop data recovery software for storage products, contributing to design, documentation, testing, and debugging within a team environment.

As a Lead Python Engineer, you will build a multitenant data platform and data ingestion pipelines on AWS, collaborating with various teams and improving processes.

As a Junior Data Engineer, you will support the development of data pipelines, maintain data quality processes, and collaborate with stakeholders to ensure reliable data infrastructure.

The Data Engineer will develop and maintain ETL/ELT pipelines, implement monitoring systems, establish data quality checks, and document data structures.

The role involves using data analysis to drive commercial and operational strategies, create dashboards, establish key metrics, and collaborate with teams for actionable insights.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

Design and maintain scalable data pipelines, develop dbt models, implement workflows, and collaborate with teams to optimize data flows.